Improving reservoir characterization and time-lapse seismic through joint inversion of PP- and PS-wave seismic data

Tura, Ali; Simmons, James; Daneshvar, Sima; Copley, Matthew; Stitt, Joseph P.

doi:10.1190/int-2021-0167.1

Cited by 8 publications

(19 citation statements)

References 20 publications

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“…This is because of the more porous and permeable aeolian reservoir zone just under the top chalk causing most saturation sweep. As expected and discussed in Tura et al. (2022), we see in Figure 11b, PS amplitudes are not very sensitive to water saturation changes and show zones of pressure changes (deeper regions near the toes of wells W‐1, W‐2 and W‐3). As was discussed earlier with modelling results, the PP time‐shifts are sensitive to both pressure and saturation changes but clearly to a different extent compared to PP amplitude changes (compare Figure 11a,c). PP amplitudes are more sensitive to saturation changes versus PS amplitude changes (Figure 11a,b), whereas PP time‐shifts show sensitivity to both saturation changes (speed‐up for water replacing oil) and injector pressure changes (slow‐down for pore pressure increase), whereas PS time‐shifts are highly sensitive to pressure changes but much less sensitive to saturation changes (Figure 11c,d).…”

Section: Application To 4d Offshore North Sea Field Datasupporting

confidence: 86%

“…(2021) and Tura et al. (2022). Here, we start from time‐lapse amplitude changes but mostly focus on the time‐shifts.…”

Section: Application To 4d Offshore North Sea Field Datamentioning

confidence: 96%

“…For the North Sea study, impedance changes were published in Tura et al. (2022), and for the Jubarte study, changes were published in Damasceno et al. (2021).…”

Section: Rock‐physics Modelling Study For Two Field Data Applications...mentioning

confidence: 99%

“…analysis and discrimination between saturation and pressure changes (see Tura et al, 2022); however, near angle stacks or post-stack data is seen to be satisfactory for time-shift analysis.…”

Section: A C K N O W L E D G E M E N T Smentioning

confidence: 99%

“…Some of the 4‐C acquisition and processing issues and key aspects are discussed in Gaiser (2016) and Tura et al. (2022).…”

Section: Introductionmentioning

confidence: 99%

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Time‐lapse PS‐wave time‐shifts and quantitative pressure‐saturation discrimination applications

Tura

Simmons

Damasceno

et al. 2023

Geophysical Prospecting

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We show that time-lapse (4D) time-shifts from PS-wave data are valuable as they are very sensitive to pressure changes, whereas 4D time-shifts from PP-wave data are sensitive to both pressure and saturation changes. This gives another opportunity from using 4D amplitudes alone to understand and discriminate areas of pressure changes from areas of saturation changes in field data. 4D PS time-shifts sense transmission related changes taking into consideration propagation through the altered medium, whereas amplitude changes are reflection or backscattered signals from the boundary. Therefore, these two attributes will be complimentary in 4D interpretation. Rock-physics-based time-shift cross-plots are generated to analyse how pressure and saturation changes in a reservoir impact PP-and PS-wave time-shifts. The developments of 4D time-shifts are shown fixing the reservoir properties and varying reservoir layer thickness. Synthetic seismic data from a wedge is modelled to understand differences between 4D amplitude and time-shift changes and the value of PS time-shifts. Cases with pressure changes only and saturation changes only are also analysed with the wedge model. The method is next applied to two 4D field data sets. One is in the North Sea and the other offshore Brazil. In these field data sets, with different levels of noise in the 4D data, we see interpretable results from PS-wave time-shifts that can help in 4D signal understanding and improve reservoir characterization and monitoring practices. We believe that with modern acquisition and processing, this technology is realizable and provides quantitative and accurate 4D interpretations. It is shown that the use of PS-wave data can lead to a larger chance of success in placing development wells.

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Section: Application To 4d Offshore North Sea Field Datasupporting

confidence: 86%

“…(2021) and Tura et al. (2022). Here, we start from time‐lapse amplitude changes but mostly focus on the time‐shifts.…”

Section: Application To 4d Offshore North Sea Field Datamentioning

confidence: 96%

“…For the North Sea study, impedance changes were published in Tura et al. (2022), and for the Jubarte study, changes were published in Damasceno et al. (2021).…”

Section: Rock‐physics Modelling Study For Two Field Data Applications...mentioning

confidence: 99%

Section: A C K N O W L E D G E M E N T Smentioning

confidence: 99%

“…Some of the 4‐C acquisition and processing issues and key aspects are discussed in Gaiser (2016) and Tura et al. (2022).…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Time‐lapse PS‐wave time‐shifts and quantitative pressure‐saturation discrimination applications

Tura

Simmons

Damasceno

et al. 2023

Geophysical Prospecting

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Time-lapse amplitude variation with offset difference inversion based on the reformulated Biot-Squirt model

Zhi,

Lv,

Pan

et al. 2025

Journal of Applied Geophysics

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Quantitative pressure and saturation engineering values from 4D PP and PS seismic data

Tura,

Held,

Simmons

et al. 2024

Geophysical Prospecting

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For field development and drilling decisions, production assets and reservoir engineers require dynamic reservoir properties, such as saturation and pressure changes of a reservoir from the pre‐production virgin state. To date, geophysicists have produced time‐lapse (4D) seismic attributes (mostly on stacked seismic data) rather than dynamic parameters directly. In this paper, we present a new method to estimate saturation and pressure properties from time‐lapse seismic data to provide to reservoir engineers. This new three‐step method is demonstrated over the Edvard Grieg field in the North Sea. We can realize this method thanks to advanced seismic multi‐component acquisition via PP and PS seismic data and processing that allows accurate estimation of amplitude‐variation‐with‐offset parameters P‐ and S‐impedances. With time‐lapse P‐ and S‐impedances optimally resolved, we estimate a stable set of axes identifying water saturation increase (water replacing oil), gas saturation increase (gas injection or gas out of solution), pressure increase (at injectors) and pressure decrease (at producers). Once these axes are obtained, we convert every 4D P‐ and S‐impedance data points into 4D pseudo‐saturation and pseudo‐pressure using a transformation of coordinates. We next use the rock physics relationships of this field to show that a linear relationship can be used to map any 4D change in the field from impedances to saturations and pressures. Key locations in the field with largest saturation and pressure changes are used to find calibration values at these extreme points. Next, from the pseudo‐seismic 4D data, a linear mapping is used to calculate actual reservoir property changes (fractions for saturation and bars for pressure). This allows us to obtain fieldwide dynamic values for water and gas saturations and injection and production related pressure changes. The results are shown, and dynamic changes are interpreted on the Edvard Grieg field data.

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Improving reservoir characterization and time-lapse seismic through joint inversion of PP- and PS-wave seismic data

Cited by 8 publications

References 20 publications

Time‐lapse PS‐wave time‐shifts and quantitative pressure‐saturation discrimination applications

Time‐lapse PS‐wave time‐shifts and quantitative pressure‐saturation discrimination applications

Time-lapse amplitude variation with offset difference inversion based on the reformulated Biot-Squirt model

Quantitative pressure and saturation engineering values from 4D PP and PS seismic data

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